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theorem proved term proof high

recognition_deficit

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The recognition deficit theorem establishes that J-cost is strictly positive for every positive real number different from one. Cross-domain researchers in Recognition Science cite it as the shared foundation for non-equilibrium costs in turbulence, disease, game theory, and neurodevelopment. The proof reduces directly to the core positivity lemma for J-cost via a single function application.

claim$forall r : mathbb{R}, 0 < r to r neq 1 to 0 < J(r)$, where $J$ is the J-cost function.

background

The module C16 establishes J-cost positivity universality as the off-equilibrium analogue of C7. RecognitionDeficit is the proposition forall r in R, 0 < r implies r neq 1 implies 0 < Jcost r. This single statement is specialized across seven domains: turbulent flow, disease deviation from homeostasis, off-target CRISPR effects, off-equilibrium games, market arbitrage, biased reasoning, and recognition deficit in neurodevelopment.

proof idea

The proof is a term-mode one-liner that applies the upstream lemma Jcost_pos_of_ne_one to the supplied r, positivity hypothesis, and inequality hypothesis, directly discharging the universal quantifier.

why it matters in Recognition Science

This theorem supplies the recognition deficit case inside jPositivityUniversalityCert, which aggregates the seven domain instances into one certificate. It completes the cross-domain extension of C7, confirming that the same J-cost positivity source (proved by rewriting as a square and using positivity of squares) governs all listed specializations. The result sits in the Recognition Science forcing chain after J-uniqueness and before domain-specific applications.

scope and limits

formal statement (Lean)

  51theorem recognition_deficit : RecognitionDeficit :=

proof body

Term-mode proof.

  52  fun r hr hne => Jcost_pos_of_ne_one r hr hne
  53
  54/-! ## Universality: all seven are definitionally the same proposition. -/
  55

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